At a Glance
- Tasks: Lead product vision and strategy for data collection and transformation at Algolia.
- Company: Join a forward-thinking tech company focused on AI and data solutions.
- Benefits: Flexible workplace, competitive salary, and inclusive culture.
- Other info: Collaborative environment with opportunities for professional growth and impact.
- Why this job: Shape the future of data management and empower businesses with innovative solutions.
- Qualifications: 5+ years in product management with expertise in data platforms and ETL processes.
The predicted salary is between 70000 - 90000 € per year.
Mission
Own the product vision, strategy, and execution for Algolia’s data collection and transformation capabilities within the Data Platform. Empower every business to unlock the full potential of their product and record/catalog data for exceptional AI search and agentic experiences. You will focus on foundational data systems that ensure high-quality, well-structured data flows into Algolia so that it can be efficiently leveraged by our search, AI, and analytics products.
Core Pillars
- Data Transformation Platform
Design and evolve capabilities that convert raw, heterogeneous data (e.g., JSON, CSV, databases, APIs, 3rd-party systems) into optimised, Algolia-ready formats. Drive schema alignment, normalisation, and mapping so customers can quickly make their data searchable and usable. Partner with Connector and Data Platform teams to provide seamless end-to-end ingestion + transformation workflows. - Data Quality & Platform Services
Establish and evolve data quality standards for accuracy, completeness, and consistency across records. Partner with engineering to build scalable APIs, services, and UIs (e.g., pipeline monitoring) that make data capabilities easy to adopt. Define platform metrics and instrumentation that demonstrate business impact, such as integration time, error rates, and enrichment coverage.
What You’ll Be Doing
- Own Product Strategy & Roadmap for Data Collection & Transformations
Define and execute the strategy and roadmap for data collection and transformation within the Data Platform. Identify and prioritise platform capabilities that unlock the most value for customers and internal teams. Translate business and customer problems into clear product requirements and implementation milestones. - Deliver Measurable Outcomes, Not Just Features
Reduced data integration and onboarding time for customers. Improved record data quality, completeness, and consistency. Increased adoption of transformation features by customers and internal teams. Higher satisfaction with data management and AI readiness. Define and track success metrics, experiments, and rollouts to validate impact. - Partner Across the Data & AI Platform
Collaborate with Connector Platform teams to ensure transformed data can be easily ingested from diverse systems. Collaborate with AI Search & Agentic teams so that transformed data and signals are leveraged in ranking, retrieval, and agents. Collaborate with Infrastructure & Platform teams to meet scale, latency, and cost targets for data processing. Act as the subject matter expert on record data collection and transformation capabilities. - Support Integrations & Go‑to‑Market
Work with GTM, Professional Services, and partner teams to improve data quality and onboarding workflows. Contribute to documentation, partner connector requirements, and best‑practice guides for transforming and enriching data. Support strategic customers and partners in designing pipelines that get them to value faster. - Operate with High Rigor and Clarity
Maintain high‑quality product artifacts (roadmaps, PR/FAQs, CPR updates, WBR metrics) for your product area. Communicate trade‑offs, decisions, and progress clearly to leadership and cross‑functional stakeholders. Bring structure and clarity to complex data problems and align diverse teams around a coherent plan.
What We’re Looking For
- Senior Product Experience
5+ years of product management experience, ideally in B2B SaaS, data platforms, or developer products. Demonstrated ability to own and grow a technical product area end‑to‑end as an individual contributor. - Data Platform Expertise
Strong experience with ETL/ELT pipelines, data transformation, schema design/alignment, and data quality systems. Familiarity with event tracking, ingestion frameworks, and data modeling for search, analytics, or ML. Experience with APIs, connectors, and data tooling in developer‑first or platform environments. - Product & Platform Ownership
Track record of defining vision, KPIs, and roadmap for a complex technical product area. Comfortable working across multiple teams and dependencies, driving alignment without direct authority. - Clear, Strategic Communicator
Ability to simplify complex data systems and explain trade‑offs to engineers, leadership, and customers. Experience presenting product strategies, PR/FAQs, and roadmap updates to senior stakeholders.
Flexible Workplace Strategy
Algolia offers a flexible workplace model, enabling employees to work from wherever they choose. Depending on the role, you may work fully remote, hybrid‑remote, or in‑office from one of our global locations.
Equal Opportunity
We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.
Senior Product Manager, Data London, England employer: Algolia
Algolia is an exceptional employer that champions innovation and inclusivity, offering a flexible workplace model that allows employees to thrive in their preferred environment, whether remote or in-office. With a strong focus on employee growth, Algolia provides opportunities for professional development and collaboration across diverse teams, ensuring that every team member can contribute to impactful projects that shape the future of data transformation and AI search. Join us in London to be part of a dynamic culture that values creativity, clarity, and high-quality outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager, Data London, England
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Know their data transformation capabilities inside out, so you can show how you’d add value right from the start.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with their needs, especially around data quality and product strategy. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive.
We think you need these skills to ace Senior Product Manager, Data London, England
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences that align with the Senior Product Manager role. Highlight your expertise in data platforms and product management to show us you’re the perfect fit!
Showcase Your Achievements:When detailing your past experiences, focus on measurable outcomes rather than just listing responsibilities. We want to see how you've driven success in previous roles, especially in areas like data quality and transformation.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to communicate your ideas and experiences, as this reflects the clarity we value in our team. Remember, less is often more!
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Algolia
✨Know Your Data Inside Out
As a Senior Product Manager for Data, you need to be well-versed in data transformation and quality systems. Brush up on your knowledge of ETL/ELT pipelines and schema design. Be ready to discuss how you've tackled complex data challenges in the past.
✨Showcase Your Strategic Thinking
Prepare to articulate your vision for product strategy and roadmap. Think about how you would prioritise platform capabilities that deliver value. Use specific examples from your experience to demonstrate how you've defined success metrics and validated impact in previous roles.
✨Collaboration is Key
Highlight your experience working across teams, especially with engineering and AI platforms. Be prepared to discuss how you've driven alignment and communicated trade-offs effectively. Share examples of how you've partnered with different stakeholders to achieve common goals.
✨Communicate Clearly and Confidently
Practice simplifying complex data concepts for various audiences. You might need to present your ideas to senior stakeholders, so focus on clarity and structure in your communication. Prepare a few key points about your past successes that you can share succinctly during the interview.
